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Learning functionals via LSTM neural networks for predicting vessel dynamics in extreme sea states
Predicting motions of vessels in extreme sea states represents one of the most challenging problems in naval hydrodynamics. It involves computing complex nonlinear wave-body interactions, hence taxing heavily computational resources. Here, we put forward a new simulation paradigm by training recurre...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Proc Math Phys Eng Sci |
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| Κύριοι συγγραφείς: | , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
The Royal Society Publishing
2021
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7897645/ https://ncbi.nlm.nih.gov/pubmed/33642920 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2019.0897 |
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